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Student Performance on an E-Learning Platform: Mixed Method Approach.

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Bibliographic Details
Title: Student Performance on an E-Learning Platform: Mixed Method Approach.
Authors: Rakic, Slavko1 slavkorakic@uns.ac.rs, Tasic, Nemanja1, Marjanovic, Ugljesa1, Softic, Selver2, Lüftenegger, Egon2, Turcin, Ioan2
Source: International Journal of Emerging Technologies in Learning. 2020, Vol. 15 Issue 2, p187-203. 17p.
Subject Terms: *Learning management system, *Educational technology, *Educational resources, Digital technology, Social network analysis, K-means clustering
Geographic Terms: Serbia
Abstract: E-learning is considered a leading application of digital technologies in educational systems. The aim of the paper is to explore the utilization and impact of digital technologies on an e-learning platform. For this purpose, research was conducted at the Moodle learning management system. Data from the e-learning platform were empirically evaluated in order to find key indicators of student performance in different courses. Student success with the elearning system was evaluated using a mixed-method: Social Network Analysis, K-Means Clustering, and Multiple Linear Regression. The research was conducted at the University of Novi Sad, Faculty of Technical Sciences, Serbia. The results indicate a significant relationship between the performance of students and the use of digital educational resources from the e-learning platform. [ABSTRACT FROM AUTHOR]
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Database: Education Research Complete
Description
Abstract:E-learning is considered a leading application of digital technologies in educational systems. The aim of the paper is to explore the utilization and impact of digital technologies on an e-learning platform. For this purpose, research was conducted at the Moodle learning management system. Data from the e-learning platform were empirically evaluated in order to find key indicators of student performance in different courses. Student success with the elearning system was evaluated using a mixed-method: Social Network Analysis, K-Means Clustering, and Multiple Linear Regression. The research was conducted at the University of Novi Sad, Faculty of Technical Sciences, Serbia. The results indicate a significant relationship between the performance of students and the use of digital educational resources from the e-learning platform. [ABSTRACT FROM AUTHOR]
ISSN:18630383
DOI:10.3991/ijet.v15i02.11646